The operating system for next-generation EV charging networks
A charging network running blind across 300+ disconnected sites - rebuilt into a single intelligence platform that sees every asset, detects every anomaly, and acts before revenue leaks. This is what AI looks like when it runs operations, not dashboards.
300+
Sites unified
6,000+
Sessions monitored
>95%
Reconciliation reduction
Real-time
Operational control
A charge point operator running infrastructure at network scale
A major CPO aggregator operating the infrastructure layer for next-generation EV charging networks. Their platform spans multiple charge point operators, hardware vendors, and billing hierarchies - serving fleet operators, residential communities, and commercial property managers at scale.
Their mission is to make EV charging infrastructure as reliable and visible as the power grid itself. But as the network scaled past 300 sites and thousands of daily sessions, disconnected systems and hidden operational leakage demanded a fundamentally smarter operating layer.
THE challenge
Disconnected ops, no visibility, hidden revenue loss
With hundreds of sites and thousands of sessions running daily, operations were fragmented across completely siloed systems. Ops data, billing records, and hardware telemetry lived separately, with no shared layer - so no single team ever had a complete picture of the network at any moment.
- ×300+ sites operating independently, with no unified view of health or status
- ×6,000+ daily sessions running with no anomaly detection - failures went unnoticed
- ×Revenue leaking silently, with no attribution or detection
- ×Manual teams chasing delayed fixes; field alerts arrived too late
- ×Site onboarding dragging on for ~21 days
- ✓Every site, session, and vendor unified into one operating layer
- ✓Real-time anomaly detection across the entire network
- ✓Revenue risks flagged and addressed before they compound
- ✓Precise fixes routed to field teams automatically
- ✓Site onboarding cut to ~2 days
THE approach
The CosX Control Layer: AI, data, and intelligent workflows
CosX built a three-component intelligence layer that turned fragmented infrastructure into a unified operating system - powered by Smart AI, integrated data, a centralized platform, and automated insights.
Continuously monitors the entire network in real time - finding underperforming stations before they fail, detecting failed sessions as they happen, and flagging revenue risks across all sites. What once needed manual inspection now happens automatically, at scale.
Processes operational and financial data across the network - tracking failure patterns, analyzing energy trends, and revealing systemic inefficiencies invisible at any single-site level. Integrated finance and ops data created one analytical layer that didn't exist before.
Closes the loop from insight to action - recommending specific fixes per asset, automating routine optimizations, and alerting field teams with precise instructions, systematically reducing the manual intervention that previously dominated operations.
A natural-language assistant on top of the control layer. Operators can query the entire network's data and get actionable answers in seconds - ranked asset performance, flagged underperformers, and the highest-ROI interventions. Analysis that took days now returns in under 10 seconds.
Smart AI
Optimizes asset performance using live session data, hardware telemetry, and historical patterns.
Integrated Data
Aggregates finance and ops into one analytical layer, eliminating reconciliation overhead.
Centralized Platform
Manages every site, session, vendor, and billing hierarchy from one interface.
Automated Insights
Surfaces the right metric at the right moment, without manual reporting cycles.
Field Team Alerts
Routes precise remediation instructions to the right teams, cutting response time.
Automated Optimizations
Routine network optimizations run end-to-end, freeing teams for strategic work.
THE IMPACT
From disconnected ops to a unified operating system
The client moved from operating blind across hundreds of sites to running a unified infrastructure operating system - with real-time visibility, AI-powered anomaly detection, and automated decision support across every charging point.
21 → 2 days
Site onboarding time
−90%
Reconciliation time
>95%
Invoice automation
3–7%
Revenue leakage reduced
300+
Sites under real-time control
<10 sec
From query to actionable insight
Asset uptime and utilisation also improved measurably across the network as proactive anomaly detection replaced reactive fixes. (Figures to be finalised with the client.)
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